研究生: |
Liem Stefani Meilia Gunawan Liem Stefani Meilia Gunawan |
---|---|
論文名稱: |
Optimized Management Strategy for Construction Projects Considering the Trade-off of Estimate Schedule and Cost at Completion Optimized Management Strategy for Construction Projects Considering the Trade-off of Estimate Schedule and Cost at Completion |
指導教授: |
鄭明淵
Min-Yuan Cheng |
口試委員: |
李欣運
Hsin-Yun Lee 曾惠斌 Hui-Ping Tserng |
學位類別: |
碩士 Master |
系所名稱: |
工程學院 - 營建工程系 Department of Civil and Construction Engineering |
論文出版年: | 2019 |
畢業學年度: | 107 |
語文別: | 英文 |
論文頁數: | 95 |
中文關鍵詞: | Time 、Cost 、Trade-off 、Prediction 、Optimization 、SOS-NN-LSTM 、MOSOS 、Pareto Curve 、Indifference Curve |
外文關鍵詞: | Time, Cost, Trade-off, Prediction, Optimization, SOS-NN-LSTM, MOSOS, Pareto Curve, Indifference Curve |
相關次數: | 點閱:265 下載:0 |
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Nowadays, the minimization of project time and cost is an important issue. However, time and cost problems are difficult to solve. They are affected by the uncertain factor. Then, the construction project always fails to achieve the effectiveness of time and cost performance. It causes delays and cost overrun. Over the past few years, the Earned Value Method (EVM) is used for forecasting project time and cost. However, its method does not consider uncertainties. In this research, SOS-NN-LSTM is required to establish the ESTC and ECTC prediction model based on time now performance. Then, the prediction model will be integrated with MOSOS to obtain the optimal prediction value. The integration is needed because there is no direct equation to calculate the ESTC and ECTC. The Pareto curve identified based on the prediction values of MOSOS. The Pareto curve is used to determine the optimal trade-off between project duration and project cost. Then, the indifference curve is used to solve the trade-off problem between ESTC and ECTC which give the decision-maker preference.
Nowadays, the minimization of project time and cost is an important issue. However, time and cost problems are difficult to solve. They are affected by the uncertain factor. Then, the construction project always fails to achieve the effectiveness of time and cost performance. It causes delays and cost overrun. Over the past few years, the Earned Value Method (EVM) is used for forecasting project time and cost. However, its method does not consider uncertainties. In this research, SOS-NN-LSTM is required to establish the ESTC and ECTC prediction model based on time now performance. Then, the prediction model will be integrated with MOSOS to obtain the optimal prediction value. The integration is needed because there is no direct equation to calculate the ESTC and ECTC. The Pareto curve identified based on the prediction values of MOSOS. The Pareto curve is used to determine the optimal trade-off between project duration and project cost. Then, the indifference curve is used to solve the trade-off problem between ESTC and ECTC which give the decision-maker preference.
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